Mobile Apps for 3D Face Scanning
Intelligent Systems and Applications: Proceedings of the 2021 Intelligent Systems Conference (IntelliSys 2021). Vol.2. Lecture Notes in Networks and Systems. Vol.295.
2021
Laura Dzelzkalēja,
Normens Rozenovskis,
Jēkabs Kārlis Knēts,
Armands Sīlītis
As smartphone availability and functionality grows, the potential for 3D face-scanning
mobile apps has massively increased as well. Our study is aimed at finding and testing
mobile apps that are suitable for 3D face-scanning purposes. In our research we
scanned two human faces using iOS and Android based smartphones. 6 mobile apps
were found to be eligible: Bellus3D, Heges, Scandy Pro, Capture, Trnio, 3D scanner
Pro. Our research shows that based on visual evaluation, the most accurate 3D
models were made by Scandy Pro, while Heges was better priced with a similar
accuracy. In the top three is also Bellus3D, which doesn't provide the best
resemblance to the scanning objects, but was the easiest to use and process. Our
quantitative measurements comparing face proportions show that the best accuracy for
male face is obtained by Scandy Pro and 3D Scanner Pro, but for female face -
Scandy Pro and Capture.
Atslēgas vārdi
3D scanning; face scan; 3D printing; mobile apps; face analysis; face measurement; 3D model measurement.
DOI
10.1007/978-3-030-82196-8_4
Hipersaite
https://link.springer.com/chapter/10.1007/978-3-030-82196-8_4
Dzelzkalēja, L., Rozenovskis, N., Knēts, J., Sīlītis, A. Mobile Apps for 3D Face Scanning. No: Intelligent Systems and Applications: Proceedings of the 2021 Intelligent Systems Conference (IntelliSys 2021). Vol.2. Lecture Notes in Networks and Systems. Vol.295., Nīderlande, Amsterdam, 2.-3. septembris, 2021. Cham: Springer, 2021, 34.-50.lpp. ISBN 978-3-030-82195-1. e-ISBN 978-3-030-82196-8. Pieejams: doi:10.1007/978-3-030-82196-8_4
Publikācijas valoda
English (en)